刘悦

刘悦

教授

在国内外重要学术期刊／学术会议上发表论文90多篇，出版专著2部。其中4篇入选ESI高被引论文。

发表的部分论文：

  1. Yue Liu, Tianlu Zhao, Wangwei Ju, Siqi Shi. Materials Discovery and Design Using Machine Learning, Journal of Materiomics, 2017, 3: 159-177. (SCI IF= 9.6，中科院2区，TOP期刊，中国科技期刊卓越行动计划重点期刊；被引频次：1032，高被引论文 (最新他引966次)，中国硅酸盐学会，2020年度“High-Impact Article”奖(参评论文范围为2017-2019年的161篇Journal of Materiomics文章，当年仅有3篇入选))
  2. Siqi Shi, Jian Gao, Yue Liu(通讯作者), Yan Zhao, Qu Wu, Wangwei Ju, Chuying Ouyang, Ruijuan Xiao. Multi-scale Computation Methods: Their Applications in Lithium-ion Battery Research and Development. CHINESE PHYSICS B, 2016, 25(1): 174-197.( SCI IF= 1.5，中科院3区，中国科技期刊卓越行动计划梯队期刊；被引频次：554，高被引论文；被评为中国物理学会2019年度“最有影响论文奖”一等奖)
  3. Yue Liu, Junming Wu, Guang Yang, Tianlu Zhao, Siqi Shi. Predicting the Onset Temperature (Tg) of GexSe(1-x) Glass Transition: a Feature Selection Based Two-stage Support Vector Regression Method, Science Bulletin, 2019, 64(16): 1195-1203 (SCI IF = 21.1，JCR 1区，中科院1区，TOP期刊； 被引频次：43)
  4. Yue Liu, Aihua Tang, Fei Cai, Pengfei Ren, Zhibin Sun, Multi-feature Based Question-Answerer Model Matching for Predicting Response Time in CQA, Knowledge-Based Systems, 2019, 182: 10479-10491. (SCI IF= 7.6， JCR 1区， 中科院1区，TOP期刊；被引频次：11)
  5. Yue Liu, Junming Wu, Maxim Avdeev, Siqi Shi. Multi-Layer Feature Selection Incorporating Weighted Score-Based Expert Knowledge toward Modeling Materials with Targeted Properties, Advanced Theory and Simulations, 2020, 3(2) (SCI IF＝2.9，JCR 1区，中科院3区；被引频次：105)
  6. Yue Liu, Biru Guo, Xinxin Zou, Yajie Li, Siqi Shi. Machine Learning Assisted Materials Design and Discovery for Rechargeable Batteries, Energy Storage Materials，2020, 31:434-450 (SCI IF = 20.2，JCR 1区，中科院1区，TOP期刊；被引频次:340，高被引论文)
  7. Yue Liu, Junming Wu, Zhichao Wang, Xiao-Gang Lu, Maxim Avdeev, Siqi Shi, Chongyu Wang, Tao Yu. Predicting Creep Rupture Life of Ni-based Single Crystal Superalloys Using Divide-and-conquer Approach Based Machine Learning, Acta Materialia, 2020, 195: 454-467 (SCI IF = 9.3，JCR 1区，中科院1区，TOP期刊; 被引频次：187)
  8. Yue Liu, Aihua Tang, Zhibin Sun, Weize Tang, Fei Cai, Chengjin Wang. An Integrated Retrieval Framework for Similar Questions: Word-semantic Embedded Label Clustering-LDA with Question Life Cycle[J]. Information Sciences, 2020, 537, 227-245. (SCI IF= 6.8，JCR 1区，中科院2区，TOP期刊；被引频次：12)
  9. 刘悦, 邹欣欣, 杨正伟, 施思齐. 材料领域知识嵌入的机器学习, 硅酸盐学报, 2022,50(03): 863-876 (下载量：2642)
  10. Yue Liu, Xinxin Zou, Shuchang Ma, Maxim Avdeev, Siqi Shi. Feature Selection Method Reducing Correlations Among Features by Embedding Domain Knowledge [J]. Acta Materialia, 2022, 238: 118195(SCI IF = 9.3，JCR 1区，中科院1区，TOP期刊; 被引频次：41)
  11. Yue Liu, Weize Tang, Zitu Liu, Lin Ding, Aihua Tang. High-quality Domain Expert Finding Method in CQA Based on Multi-granularity Semantic Analysis and Interest Drift [J]. Information Sciences, 2022, 596: 395-413. (SCI IF= 6.8，JCR 2区，中科院1区，TOP期刊；被引频次：15)
  12. Yue Liu, Xianyuan Ge, Zhengwei Yang, Shiyu Sun, Dahui Liu, Maxim Avdeev, Siqi Shi. An Automatic Descriptors Recognizer Customized for Materials Science Literature[J]. Journal of Power Sources, 2022, 545(15): 231946. (SCI IF= 7.9，JCR 3区，中科院2区，TOP期刊; 被引频次：16)
  13. 施思齐,孙拾雨,马舒畅, 邹欣欣, 钱权, 刘悦(通讯作者).融合材料领域知识的数据准确性检测方法[J]. 无机材料学报, 2022,37(12):1311-1325. (下载量：393)
  14. Yue Liu, Zitu Liu, Shuang Li, Yike Guo, Qun Liu, Guoyin Wang. Cloud-Cluster: An Uncertainty Clustering Algorithm Based on Cloud Model[J]. Knowledge-Based Systems, 2023: 110261. (SCI IF= 7.6，JCR 1区，中科院1区，TOP期刊；被引频次：24)
  15. Yue Liu, Zitu Liu, Shuang Li, Zhenyao Yu, Yike Guo, Qun Liu, Guoyin Wang. Cloud-VAE: Variational Autoencoder with Concepts Embedded[J]. Pattern Recognition, 2023, 140: 109530. (SCI IF= 7.6，JCR 1区，中科院1区，TOP期刊；被引频次：11)
  16. Yue Liu, Lin Ding, Zhengwei Yang, Xianyuan Ge Dahui Liu, Wei Liu, Tao Yu, Maxim Avdeev, Siqi Shi, Domain Knowledge Discovery from Abstracts of Scientific Literature on Nickel-based Single Crystal Superalloys [J]. SCIENCE CHINA Technological Sciences, 2023; doi:10.1007/s11431-022-2283-7. (SCI IF= 4.9，JCR 2区，中科院2区；被引频次：11)
  17. 刘悦, 刘大晖, 葛献远, 杨正伟, 马舒畅, 邹喆乂, 施思齐. 高质量的材料科学文本挖掘数据集构建方法[J]. 物理学报, 2023, 72(07):128-141. (下载量：858，2024年度在SCI核心数据库的被引频次高，在《物理学报》2022-2023年发表的文章中排名进入前1%，被评为“《物理学报》2024年度高被引论文”)
  18. 刘悦,马舒畅,杨正伟,邹欣欣,施思齐.面向材料领域机器学习的数据质量治理[J]. 硅酸盐学报, 2023, 51(02):427-437. (下载量：791)
  19. Yue Liu, Zhengwei Yang, Xinxin Zou, Shuchang Ma, Dahui Liu, Maxim Avdeev, Siqi Shi, Data Quantity Governance for Machine Learning in Materials Science [J]. National Science Review, 2023; doi:10.1093/nsr/nwad125. (SCI IF=17.1， JCR 1区，中科院1区，TOP期刊；被引频次：87)
  20. Yue Liu, Shuangyan Wang, Zhengwei Yang, Maxim Avdeev, Siqi Shi, Auto-MatRegressor: Liberating Machine Learning Alchemists [J]. Science Bulletin, 2023; doi:10.1016/j.scib.2023.05. (SCI IF=21.1, JCR 1区, 中科院1区，TOP期刊；被引频次：32)
  21. Yue Liu, Zhengwei Yang, Zhenyao Yu et al. Generative Artificial Intelligence and Its Applications ina Materials Science: Current Situation and Future Perspectives. Journal of Materiomics, 2023; doi:10.1016/j.jmat.2023.05.001. (SCI IF= 9.6，中科院2区，TOP期刊，高被引论文 (最新他引128次)，中国硅酸盐学会, 2024年度“High-Impact Article”奖(参评论文范围为2021-2023年的390篇Journal of Materiomics文章，当年仅有5篇入选))
  22. Yue Liu, Zhenyao Yu, Zitu Liu, Ziyi Yu, Xinyan Yang, Xingyue Li, Yike Guo, Qun Liu, Guoyin Wang. Improving Disentanglement in Variational Auto-Encoders via Feature Imbalance Informed Dimension Weighting. Knowledge-Based Systems, 2024, 263: 110261. (SCI IF= 7.6，JCR 1区，中科院1区，TOP期刊；被引频次：3)
  23. Yue Liu, Zitu Liu, Zhenyao Yu, Qingshan Fu, Weize Tang, Wenxuan Yao, Zhibin Sun. Knowledge Augmented Expert finding framework via knowledge graph embedding for Community Question Answering[J]. Engineering Applications of Artificial Intelligence, 2025, 142: 109891. (SCI IF=8，中科院1区，Top期刊；被引频次：1)
  24. Yue Liu, L Wu, Z Yang, et al. Descriptors divide-and-conquer enables multifaceted and interpretable materials structure–activity relationship analysis[J]. Advanced Functional Materials, 2025: 2421621-2421634. (SCI IF= 19，中科院1区，Top期刊)
  25. Z Liu, Yue Liu, Z Yu, et al. PT-VAE: Variational Autoencoder with Prior Concept Transformation[J]. Neurocomputing, 2025: 130129. (SCI IF=6.5，中科院2区)
  26. Yue Liu, Shuchang Ma, Zhengwei Yang, Duo Wu, Yali Zhao, Maxim Avdeev, Siqi Shi，Domain knowledge-assisted materials data anomaly detection towards constructing high-performance machine learning models[J]. Journal of Materiomics，2025. (SCI IF=9.6，中科院2区)
  27. Yue Liu, Z Yang, X Zou, Y Lin, S Ma, W Zuo, Z Zou, H Wang, M Avdeev, S Shi. A general framework to govern machine learning oriented materials data quality[J]. Materials Science and Engineering: R: Reports, 2025, 166: 101050. (SCI IF=26.8，中科院1区，Top期刊)
  28. Yue Liu, Dahui Liu, Zhengwei Yang, Xianyuan Ge, Wenxuan Yao, Jie Wu, Maxim Avdeev, Siqi Shi. A knowledge acquisition automatizing framework from literature exemplified by Na+ activation energy prediction of NASICON solid-state electrolyte[J]. Energy Storage Materials, 2025, 80: 104390.（SCI IF= 20.2，中科院1区，Top期刊）

发表的专著：

  1. 刘悦，神经网络集成及其在地震预报中的应用研究，上海大学出版社，2009年6月
  2. 施思齐，刘悦（负责第十章）等，电化学储能中的计算、建模与仿真，化学工业出版社，2022.12月（2024年度化学工业出版社优秀图书奖二等奖）

申请的专利：

  1. 基于广义邻近替代的产品需求预测方法，2010年3月17日申请，公开号：101807271A
  2. 一种面向科学数据分析的自动聚类算法选择系统及方法，2019年9月29日，公开号：CN110738245A
  3. 文本数据的描述符识别方法、装置及介质，2022年05月19日，公开号：CN114997176A
  4. 一种材料性能自动预测系统, 2022年0月27日，公开号：CN115148307A
  5. 一种基于层级预测演变的深度神经网络过程解释装置， 2022年12月22日，申请号: 202211650137.2
  6. 一种分层多粒度的材料描述符管理方法，2024年08月16日，申请号: 202411125629.9
  7. 一种应用于固态电解质材料的反向设计方法，2025年03月07，申请号：202510267848.9
  8. 面向材料结构化数据的生成与筛选方法和装置，2025年06月25日，申请号：202510858748.3